
@article{ref1,
title="Finite element investigation of human maxillary incisor under traumatic loading: static vs dynamic analysis",
journal="Computer methods and programs in biomedicine",
year="2018",
author="Oskui, Iman Z. and Hashemi, Ata and Jafarzadeh, Hamid and Kato, Akiko",
volume="155",
number="",
pages="121-125",
abstract="BACKGROUND AND OBJECTIVE: Traumatic loading is the main form of injury sustained in dental injuries. In spite of the prevalence of dental trauma, little information is available on traumatic dental damage and the evaluation of tooth behavior under traumatic loading. Due to the short period of traumatic loading, at first sight, a dynamic analysis needs to be performed to investigate the dental trauma. However, it was hypothesized that dental traumatic loading could be regarded as quasi-static loading. Thus, the aim of the present study was to examine this hypothesis. <br><br>METHODS: Static and dynamic analyses of the human maxillary incisor were carried out under traumatic loading using a 3D finite element method. Also, modal analysis of the tooth model was performed in order to evaluate the assumption of the dental traumatic loading as a quasi-static one. <br><br>RESULTS: It was revealed that the static analysis of dental trauma is preferred to the dynamic analysis when investigating dental trauma, mainly due to its lower computational cost. In fact, it was shown that including the inertia of the tooth structure does not influence the results of the dental trauma simulation. Furthermore, according to the modal analysis of the tooth structure, it was found that the mechanical properties and geometry of the periodontal ligament play significant roles in the classification of dental traumatic loading as a quasi-static one, in addition to the time duration of the applied load. <br><br>CONCLUSIONS: This paper provides important biomechanical insights into the classification of dental loading as quasi-static, transient or impact loading in future dental studies.<br><br>Copyright © 2017 Elsevier B.V. All rights reserved.<p /> <p>Language: en</p>",
language="en",
issn="0169-2607",
doi="10.1016/j.cmpb.2017.12.007",
url="http://dx.doi.org/10.1016/j.cmpb.2017.12.007"
}